code: def diag_inner_product_test_data(self):
      data = [
          dict(
              tangent_vec_a=gs.array([[1.0, 0.0], [-2.0, -1.0]]),
              tangent_vec_b=gs.array([[2.0, 0.0], [-3.0, -1.0]]),
              base_point=gs.array([[SQRT_2, 0.0], [-3.0, 1.0]]),
              expected=gs.array(2.0),
          )
      ]
      return self.generate_tests(data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import VectorSpaceOpenSetTestData
  from .invariant_metric import InvariantMetricMatrixTestData
  from .lie_group import MatrixLieGroupTestData
  from .pullback_metric import PullbackDiffeoMetricTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 1 for calling the CholeskyMetric2TestData obj's underlying member method code with example usage: obj.diag_inner_product_test_data() and returns: self